Taghi M. Khoshgoftaar

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 190

Top Venues

IRI

J. Big Data

ICMLA

ICTAI

Publications

Michael Lowe, Joseph D. Prusa, Joffrey L. Leevy, Taghi M. Khoshgoftaar
Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation. J. Big Data 11 (1) (2024)
Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods. J. Big Data 11 (1) (2024)
John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang
Data reduction techniques for highly imbalanced medicare Big Data. J. Big Data 11 (1) (2024)
Robert K. L. Kennedy, Flavio Villanustre, Taghi M. Khoshgoftaar, Zahra Salekshahrezaee
Synthesizing class labels for highly imbalanced credit card fraud detection data. J. Big Data 11 (1) (2024)
Preston Billion Polak, Joseph D. Prusa, Taghi M. Khoshgoftaar
Low-shot learning and class imbalance: a survey. J. Big Data 11 (1) (2024)
Safak Kayikci, Taghi M. Khoshgoftaar
Blockchain meets machine learning: a survey. J. Big Data 11 (1) (2024)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
One-Class Classifier Performance: Comparing Majority versus Minority Class Training. ICTAI (2023)
Robert K. L. Kennedy, Zahra Salekshahrezaee, Flavio Villanustre, Taghi M. Khoshgoftaar
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning. J. Big Data 10 (1) (2023)
Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique. IRI (2023)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
Investigating the effectiveness of one-class and binary classification for fraud detection. J. Big Data 10 (1) (2023)
John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar
Explainable machine learning models for Medicare fraud detection. J. Big Data 10 (1) (2023)
Joffrey L. Leevy, Justin M. Johnson, John T. Hancock, Taghi M. Khoshgoftaar
Threshold optimization and random undersampling for imbalanced credit card data. J. Big Data 10 (1) (2023)
Robert K. L. Kennedy, Zahra Salekshahrezaee, Taghi M. Khoshgoftaar
Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method. IRI (2023)
Justin M. Johnson, Taghi M. Khoshgoftaar
Data-Centric AI for Healthcare Fraud Detection. SN Comput. Sci. 4 (4) (2023)
John T. Hancock, Taghi M. Khoshgoftaar
Exploring Maximum Tree Depth and Random Undersampling in Ensemble Trees to Optimize the Classification of Imbalanced Big Data. SN Comput. Sci. 4 (5) (2023)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar
Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. IRI (2023)
John T. Hancock, Taghi M. Khoshgoftaar
Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data. ICMLA (2023)
John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar
A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. ICTAI (2023)
Clifford Kemp, Chad Calvert, Taghi M. Khoshgoftaar, Joffrey L. Leevy
An approach to application-layer DoS detection. J. Big Data 10 (1) (2023)
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
The effect of feature extraction and data sampling on credit card fraud detection. J. Big Data 10 (1) (2023)
Justin M. Johnson, Robert K. L. Kennedy, Taghi M. Khoshgoftaar
Learning from Highly Imbalanced Big Data with Label Noise. Int. J. Artif. Intell. Tools 32 (5) (2023)
Robert K. L. Kennedy, Taghi M. Khoshgoftaar
A Novel Approach to Synthesize Class Labels in Highly Imbalanced Large Data. CogMI (2023)
Huanjing Wang, John T. Hancock, Taghi M. Khoshgoftaar
Improving Medicare Fraud Detection through Big Data Size Reduction Techniques. SOSE (2023)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
Evaluating classifier performance with highly imbalanced Big Data. J. Big Data 10 (1) (2023)
Safak Kayikci, Taghi M. Khoshgoftaar
Breast cancer prediction using gated attentive multimodal deep learning. J. Big Data 10 (1) (2023)
Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. CogMI (2023)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar
Comparative analysis of binary and one-class classification techniques for credit card fraud data. J. Big Data 10 (1) (2023)
Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida. Frontiers Digit. Health 5 (2023)
John T. Hancock, Taghi M. Khoshgoftaar
Hyperparameter Tuning for Medicare Fraud Detection in Big Data. SN Comput. Sci. 3 (6) (2022)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, John T. Hancock
Evaluating Performance Metrics for Credit Card Fraud Classification. ICTAI (2022)
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder. IRI (2022)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
IoT information theft prediction using ensemble feature selection. J. Big Data 9 (1) (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Healthcare Provider Summary Data for Fraud Classification. IRI (2022)
John T. Hancock, Taghi M. Khoshgoftaar
Optimizing Ensemble Trees for Big Data Healthcare Fraud Detection. IRI (2022)
John T. Hancock, Justin M. Johnson, Taghi M. Khoshgoftaar
A Comparative Approach to Threshold Optimization for Classifying Imbalanced Data. CIC (2022)
Rick Sauber-Cole, Taghi M. Khoshgoftaar
The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey. J. Big Data 9 (1) (2022)
Rick Sauber-Cole, Taghi M. Khoshgoftaar, Justin M. Johnson
GANs for Class-Imbalanced Data: A Meta-Analysis of GitHub Projects. ICTAI (2022)
Erika Cardenas, Connor Shorten, Taghi M. Khoshgoftaar, Borivoje Furht
A Comparison of House Price Classification with Structured and Unstructured Text Data. FLAIRS (2022)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
The Effects of Random Undersampling for Big Data Medicare Fraud Detection. SOSE (2022)
Connor Shorten, Erika Cardenas, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard
Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification. ICTAI (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Cost-Sensitive Ensemble Learning for Highly Imbalanced Classification. ICMLA (2022)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
A new feature popularity framework for detecting cyberattacks using popular features. J. Big Data 9 (1) (2022)
Robert K. L. Kennedy, Zahra Salekshahrezaee, Taghi M. Khoshgoftaar
A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data. CogMI (2022)
Connor Shorten, Taghi M. Khoshgoftaar, Javad Hashemi, Safiya George Dalmida, David Newman, Debarshi Datta, Laurie Martinez, Candice Sareli, Paula Eckard
Predicting the Severity of COVID-19 Respiratory Illness with Deep Learning. FLAIRS (2022)
John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. ICMLA (2022)
Connor Shorten, Taghi M. Khoshgoftaar
An Exploration of Consistency Learning with Data Augmentation. FLAIRS (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
A Survey on Classifying Big Data with Label Noise. ACM J. Data Inf. Qual. 14 (4) (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Encoding High-Dimensional Procedure Codes for Healthcare Fraud Detection. SN Comput. Sci. 3 (5) (2022)
Justin M. Johnson, Taghi M. Khoshgoftaar
Medical Provider Embeddings for Healthcare Fraud Detection. SN Comput. Sci. 2 (4) (2021)
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
A reconstruction error-based framework for label noise detection. J. Big Data 8 (1) (2021)
Robert K. L. Kennedy, Taghi M. Khoshgoftaar
An Examination of Neural Networks on Cluster Computers. BigDataService (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting Web Attacks in Severely Imbalanced Network Traffic Data. IRI (2021)
Michael Crawford, Taghi M. Khoshgoftaar
Using Inductive Transfer Learning to Improve Hotel Review Spam Detection. IRI (2021)
John T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy
Detecting SSH and FTP Brute Force Attacks in Big Data. ICMLA (2021)
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Deep Learning applications for COVID-19. J. Big Data 8 (1) (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Output Thresholding for Ensemble Learners and Imbalanced Big Data. ICTAI (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. ICMLA (2021)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
Detecting Information Theft Attacks in the Bot-IoT Dataset. ICMLA (2021)
John T. Hancock, Taghi M. Khoshgoftaar
Impact of Hyperparameter Tuning in Classifying Highly Imbalanced Big Data. IRI (2021)
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht
Text Data Augmentation for Deep Learning. J. Big Data 8 (1) (2021)
Robert K. L. Kennedy, Justin M. Johnson, Taghi M. Khoshgoftaar
The Effects of Class Label Noise on Highly-Imbalanced Big Data. ICTAI (2021)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Jared M. Peterson
Mitigating Class Imbalance for IoT Network Intrusion Detection: A Survey. BigDataService (2021)
Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Taghi M. Khoshgoftaar
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm. J. Big Data 8 (1) (2021)
Aline Anacleto, Taghi M. Khoshgoftaar, Evangelos I. Kaisar
Predicting Traffic Incidents in Road Networks Using Vehicle Detector Data. ITSC (2021)
Clifford Kemp, Chad Calvert, Taghi M. Khoshgoftaar
Detecting Slow Application-Layer DoS Attacks With PCA. IRI (2021)
Connor Shorten, Taghi M. Khoshgoftaar
Investigating the Generalization of Image Classifiers with Augmented Test Sets. ICTAI (2021)
John T. Hancock, Taghi M. Khoshgoftaar
Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection. SN Comput. Sci. 2 (4) (2021)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
An Easy-to-Classify Approach for the Bot-IoT Dataset. CogMI (2021)
Jared M. Peterson, Joffrey L. Leevy, Taghi M. Khoshgoftaar
A Review and Analysis of the Bot-IoT Dataset. SOSE (2021)
John T. Hancock, Taghi M. Khoshgoftaar
Leveraging LightGBM for Categorical Big Data. BigDataService (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting web attacks using random undersampling and ensemble learners. J. Big Data 8 (1) (2021)
Connor Shorten, Taghi M. Khoshgoftaar
KerasBERT: Modeling the Keras Language. ICMLA (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Encoding Techniques for High-Cardinality Features and Ensemble Learners. IRI (2021)
Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. ICTAI (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Robust Thresholding Strategies for Highly Imbalanced and Noisy Data. ICMLA (2021)
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
Detecting cybersecurity attacks across different network features and learners. J. Big Data 8 (1) (2021)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya
IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. CIC (2021)
Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar
A literature review on one-class classification and its potential applications in big data. J. Big Data 8 (1) (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling. CSR (2021)
Justin M. Johnson, Taghi M. Khoshgoftaar
Semantic Embeddings for Medical Providers and Fraud Detection. IRI (2020)
Justin M. Johnson, Taghi M. Khoshgoftaar
The Effects of Data Sampling with Deep Learning and Highly Imbalanced Big Data. Inf. Syst. Frontiers 22 (5) (2020)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder
Investigating class rarity in big data. J. Big Data 7 (1) (2020)
Clifford Kemp, Chad Calvert, Taghi M. Khoshgoftaar
Detection Methods of Slow Read DoS Using Full Packet Capture Data. IRI (2020)
John T. Hancock, Taghi M. Khoshgoftaar
Medicare Fraud Detection using CatBoost. IRI (2020)
Joffrey L. Leevy, Taghi M. Khoshgoftaar
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data. J. Big Data 7 (1) (2020)
Robert K. L. Kennedy, Taghi M. Khoshgoftaar
Accelerated Deep Learning on HPCC Systems. ICMLA (2020)
John T. Hancock, Taghi M. Khoshgoftaar
Survey on categorical data for neural networks. J. Big Data 7 (1) (2020)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
Investigating the relationship between time and predictive model maintenance. J. Big Data 7 (1) (2020)
John T. Hancock, Taghi M. Khoshgoftaar
CatBoost for big data: an interdisciplinary review. J. Big Data 7 (1) (2020)
Justin M. Johnson, Taghi M. Khoshgoftaar
Hcpcs2Vec: Healthcare Procedure Embeddings for Medicare Fraud Prediction. CIC (2020)
Aaron N. Richter, Taghi M. Khoshgoftaar
Sample size determination for biomedical big data with limited labels. Netw. Model. Anal. Health Informatics Bioinform. 9 (1) (2020)
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. CogMI (2020)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Flavio Villanustre
Survey on RNN and CRF models for de-identification of medical free text. J. Big Data 7 (1) (2020)
Richard A. Bauder, Taghi M. Khoshgoftaar
A study on rare fraud predictions with big Medicare claims fraud data. Intell. Data Anal. 24 (1) (2020)
John T. Hancock, Taghi M. Khoshgoftaar
Performance of CatBoost and XGBoost in Medicare Fraud Detection. ICMLA (2020)
Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar
Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition. ICMLA (2020)
Joffrey L. Leevy, Taghi M. Khoshgoftaar
A Short Survey of LSTM Models for De-identification of Medical Free Text. CIC (2020)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService (2019)
Justin M. Johnson, Taghi M. Khoshgoftaar
Survey on deep learning with class imbalance. J. Big Data 6 (2019)
Stevens Dormezil, Taghi M. Khoshgoftaar, Federica Robinson-Bryant
Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach. EDM (Workshops) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Taghi M. Khoshgoftaar